10results about How to "Eliminate false positives" patented technology

The application belongs to the technical field of laser measuring instruments, and particularly relates to a laser measuring instrument and method for plate conveying rollers, which are easy to be interfered by intermittent and random roller surface stains, leading to detection failure or false reporting, and the following scheme is proposed, which comprises a detection platform, and two linear guides are arranged on one side of the detection platform. The laser measuring instrument and method for plate conveying rollers disclosed by the application have the advantages that through the fusion of laser and visual double sensing data, stains and real damage can be intelligently distinguished, and in-situ cleaning and re-measurement verification are combined, so that false reporting and missed detection are fundamentally eliminated, the data is absolutely reliable, the traditional separated multi-link detection, shutdown, manual investigation and cleaning are integrated into a continuous process of online, automatic and one-time completion, the non-scheduled downtime is greatly reduced, and the effect of changing from passive maintenance to predictive maintenance is achieved.

The application discloses a kind of river health state evaluation and early warning method and system, belong to ecological environment monitoring and automation control technical field, which comprises: obtaining the real-time monitoring data of river monitoring point;According to real-time monitoring data, the final water quality grade of current time is evaluated, and the diurnal comprehensive index of current time is calculated;Obtain the historical reference diurnal comprehensive index based on historical monitoring data, and calculate the dynamic early warning threshold according to the historical reference diurnal comprehensive index and the final water quality grade of current time;The diurnal comprehensive index of current time is compared with the dynamic early warning threshold, when the diurnal comprehensive index of current time is lower than dynamic early warning threshold, generate early warning information, and generate control instruction according to the comparison result, to adjust the operating parameter of front-end monitoring equipment.The present application provides a complete technical solution of precision, intelligentization and automation for the long-term supervision of "Sewage Zero Direct Discharge Area".

The application relates to the technical field of urban underground pipe network safety monitoring, and discloses a wave corrugation compensator leakage positioning method and system based on an Internet of Things, which is applied to an Internet of Things system comprising a cloud server and a plurality of sensing nodes, and the sensing nodes are installed in the interlayer space of the wave corrugation compensator. The method comprises the following steps: collecting pressure and temperature data of the interlayer space by the nodes at a low frequency, triggering an adjacent node to enter a high-frequency acoustic sampling mode when the pressure change rate is greater than a dynamic threshold value; collecting an acoustic emission signal, filtering mechanical noise through a noise reduction model, and extracting fluid jet noise characteristics; performing cross-correlation analysis on the acoustic signals between the nodes to calculate the actual sound wave conduction distance, and verifying whether real leakage occurs by comparing with a physical topological distance; and finally evaluating the leakage grade according to the steady-state peak value of the pressure data and the acoustic frequency energy data, and outputting device coordinate information. The application has both ultra-low power consumption and strong anti-interference capability, and realizes accurate element-level leakage positioning.

This invention relates to the field of document processing and text analysis technology, and discloses a text comparison method based on a sliding window and a dynamically expanding KMP algorithm. This method sets a minimum matching threshold, uses a sliding window with a step size of 1 to extract substrings from the document character by character as matching patterns, and then employs an improved KMP algorithm for scanning and matching to fully preserve the actual position information of characters in the original text. This effectively avoids positional deviations and context loss caused by preprocessing in traditional methods. After a successful initial match, the system automatically enters a dynamic expansion phase, extending the matching range character by character until continuous matching is no longer possible, thereby determining the longest repeating text segment. After matching, a dedicated result merging module intelligently merges and structures adjacent or overlapping matching segments, ultimately outputting a clear result containing the original start and end positions, repeating content, and length information. These operations significantly improve the efficiency and accuracy of large-scale document comparison.

The application discloses a kind of based on efficient reinforcement fine tuning and rule check multi-modal industrial intelligent detection method and system, method includes: S1.to industrial detection data is divided, and reference sample library and industrial acceptance rule base are constructed;S2.in frozen multi-modal base model, introduce interlayer collaborative adjustment module, and build feature space;S3.in feature space, extract locatable abnormal evidence, and output structured detection result that can be directly accessed in industrial acceptance rule base and check;S4.structurized detection result is input to industrial acceptance rule base and is checked, obtains industrial rule check result;S5.based on industrial rule check result, the related parameter of interlayer collaborative adjustment module is reinforced fine tuning, obtains multi-modal detection model;S6.based on multi-modal detection model, the abnormal detection and industrial acceptance determination of sample to be detected on production line are carried out, obtains final detection result.

This invention relates to the field of electronic digital data processing and discloses a method for generating computable task semantics from SOP text for flight training. The method includes: parsing the original script to extract key elements and constructing task nodes containing target states, parameter tolerance ranges, and behavioral rules; establishing directed dependencies between nodes to generate a task semantic graph; calculating a semantic execution score factor representing the degree of convergence of the operational intent towards the target state based on the evolution trend of the controlled entity feature state vector within a preset time window; and using the numerical evolution characteristics of the score factor satisfying the convergence criterion as the basis for triggering topological migration of the task semantic graph. This invention replaces instantaneous threshold comparison with temporal residual evolution judgment, eliminating the spatiotemporal mismatch between discrete semantic commands and continuous telemetry data streams, and improving the system's fault tolerance for non-standard phase operation recognition.

This invention discloses a method and system for detecting life jacket wearing at port berths. The method includes: constructing a monitoring area and deploying computing nodes; training a YOLOv8 model for initial and secondary detection, a ResNet model for illumination classification, a Uformer model for rain and fog recovery, and a YOLOv8 model for semantic segmentation; performing illumination scene recognition on the acquired images and adaptively selecting the corresponding preprocessing method; using the initial detection results, for personnel targets with insufficient pixel size, predicting their position by tracking and calculating the magnification factor, controlling the PTZ camera to magnify and perform secondary detection for confirmation; using the semantic segmentation results to determine whether the personnel are located in the land-based work area; and combining target tracking, triggering an alarm only when the personnel are not wearing life jackets, are located on land, and their status continuously exceeds a threshold. The system includes an intelligent PTZ camera, a management platform, and a processing unit. This invention solves the problems of difficult identification of small targets at long distances, poor adaptability to complex illumination, and high false alarm rate due to rule-based methods.

This invention relates to the field of power equipment condition monitoring, specifically to a method and system for monitoring the operating status of electricity meter boxes. An electricity meter box operating status monitoring system includes: a status perception module, an intelligent analysis module, a diagnosis and evaluation module, and an operation and maintenance decision-making module. This invention achieves accurate modeling and dynamic adaptation of the operating status of electricity meter boxes by constructing a personalized dynamic health benchmark model and combining it with real-time acquisition of multi-dimensional sensor data. This effectively eliminates the misjudgment problem caused by fixed threshold monitoring under different seasons, time periods, and load conditions, thereby improving the accuracy of anomaly identification and the system's environmental adaptability.

This invention discloses a semi-quantitative RT-LAMP method and kit for viral nucleic acid detection based on dispensed lyophilized microspheres and a multi-channel microfluidic chip. The method includes: designing two independent LAMP primer sets (P1 and P2) for each of the SARS-CoV-2 Omicron strain N gene, Zika virus NS5 gene, H1N1 influenza virus M1 gene, and H3N2 influenza virus NP gene; preparing two independent types of lyophilized microspheres by independently mixing RT-LAMP premix containing Bst DNA polymerase and other components with LAMP primer mixture and a lyophilization protectant; and using an N-channel microfluidic chip to perform serial dilutions and parallel RT-LAMP amplification of the same sample, determining the concentration of viral nucleic acid in the sample by the positive / negative inflection points of each channel. This invention is simple to operate, requires no equipment such as a real-time PCR instrument, and is suitable for rapid virus detection in various scenarios.

This invention provides a valve core leakage detection tool, belonging to the technical field of valves. The valve core leakage detection tool includes a valve core grinding assembly and a pressure detection assembly. This invention installs the valve sleeve on a lifting platform within the valve core grinding assembly, places the valve core inside the valve sleeve, and connects the lifting platform to a lifting actuator. This allows the relative position of the valve core and valve sleeve to be adjusted when the lifting actuator moves the lifting platform up and down, ensuring that the sealing surfaces or sealing lines of the valve core and valve sleeve are completely aligned. The adjusted valve sleeve and valve core are then transferred as a whole to the pressure detection assembly for sealing and leakage testing. This eliminates false detections caused by non-product quality factors such as improper assembly of the sealing line or sealing surface before testing, thus ensuring the accuracy of the test results.